Production
https://prod.org.br/doi/10.1590/0103-6513.20180087
Production
Research Article

Multi-criteria analysis of professional education on supply chain management

Claudemir Leif Tramarico; Birsen Karpak; Valerio Antonio Pamplona Salomon; Camila Aparecida Maciel da Silveira; Fernando Augusto Silva Marins

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Abstract

Abstract: Paper aims: This paper presents an analysis of professional education programs on Supply Chain Management (SCM). The purpose of this study is to analyze six professional education programs offered by the leading SCM associations, including Advanced Certified Professional Forecaster, Certified Production and Inventory Management, Certified Professional in Supply Management, and Supply Chain Professional. The analysis of professional education programs shall consider relevant criteria. There are multiple relevant criteria; some are tangible, and some others are intangible.

Originality: In 2007 Prof. Lummus researched professional education influence to SCM practices. This work is an extension of Prof. Lummus research, updating it, including more professional education programs and analyzing with AHP.

Research method: This paper applied the Analytic Hierarchy Process (AHP), a method for multi-criteria analysis, considering individual benefits and organizational benefits as the two main criteria, and professional education programs as alternatives.

Main findings: The two major contributions of this paper are: first, it presents individual benefits and organizational benefits that must be met by professional education programs; second, it evaluates the programs from multiple perspectives.

Implications for theory and practice: The approach proposed evaluates both tangible and intangible benefits of the programs.

Keywords

Analytic hierarchy process, Professional education, Supply chain management

References

Ahire, S. L. (2001). Linking operations management students directly to the real world. Interfaces, 31(5), 104-120. http://dx.doi.org/10.1287/inte.31.5.104.9653.

Alfalla-Luque, R., Medina-López, C., & Arenas-Márquez, F. J. (2011). A step forward in operations management training: student visions and their response to different learning environments. Cuadernos de Economía y Dirección de la Empresa, 14(1), 40-52. http://dx.doi.org/10.1016/j.cede.2011.01.002.

Association for Supply Chain Management – APICS. (2018). Certified in production and inventory management. Retrieved in 2018, April 17, from http://www.apics.org/cpim

Brandon-Jones, A., Lewis, M., Verma, R., & Walsman, M. C. (2016). Examining the characteristics and managerial challenges of professional services: an empirical study of management consultancy in the travel, tourism, and hospitality sector. Journal of Operations Management, 42(1), 9-24. http://dx.doi.org/10.1016/j.jom.2016.03.007.

Bulkeley, H. (2006). Urban sustainability: learning from best practice? Environment & Planning A, 38(6), 1029-1044. http://dx.doi.org/10.1068/a37300.

Camm, J. D., Cochran, J. J., & Gorman, M. F. (2014). A survey of academic use of Interfaces. Interfaces, 45(2), 187-195. http://dx.doi.org/10.1287/inte.2014.0756.

Cannon, J. P., Doney, P. M., Mullen, M. R., & Petersen, K. J. (2010). Building long-term orientation in buyer–supplier relationships: the moderating role of culture. Journal of Operations Management, 28(6), 506-521. http://dx.doi.org/10.1016/j.jom.2010.02.002.

Centre for Science and Technology Studies. (2018). CitNetExplorer analyzing citation patterns in scientific literature. Version: 1.0. Leiden: Centre for Science and Technology Studies.

Coltman, T., & Devinney, T. M. (2013). Modeling the operational capabilities for customized and commoditized services. Journal of Operations Management, 31(7-8), 555-566. http://dx.doi.org/10.1016/j.jom.2013.09.002.

Cottrill, K. (2010). Are you prepared for the supply chain talent crisis? (pp. 1-11). Cambridge: MIT Center for Transportation and Logistics.

Dalkir, K. (2005). Knowledge management in theory and practice. Burlington: Elsevier Butterworth–Heinemann.

De Felice, F., & Petrillo, A. (2013). Absolute measurement with analytic hierarchy process: a case study for Italian racecourse. International Journal of Applied Decision Sciences, 6(3), 209-227. http://dx.doi.org/10.1504/IJADS.2013.054931.

De Treville, S., & Van Ackere, A. (2006). Equipping students to reduce lead times: the role of queuing-theory-based modeling. Interfaces, 36(2), 165-173. http://dx.doi.org/10.1287/inte.1050.0188.

Dey, P. K., & Cheffi, W. (2013). Green supply chain performance measurement using the analytic hierarchy process: a comparative analysis of manufacturing organisations. Production Planning and Control, 24(8-9), 702-720. http://dx.doi.org/10.1080/09537287.2012.666859.

Fawcett, S. E., & Rutner, S. M. (2014). A longitudinal view of supply chain education: assessing the challenge of retaining relevance in today’s dynamic marketplace. International Journal of Logistics Management, 25(1), 180-201. http://dx.doi.org/10.1108/IJLM-07-2012-0061.

Fawcett, S., Jin, Y. H., Fawcett, A., & Bernardes, E. (2018). Technological game changers: convergence, hype, and evolving supply chain design. Production, 28(0), e20180002. http://dx.doi.org/10.1590/0103-6513.20180002.

Feisel, E., Hartmann, E., & Giunipero, L. (2011). The importance of the human aspect in the supply function: strategies for developing PSM proficiency. Journal of Purchasing and Supply Management, 17(1), 54-67. http://dx.doi.org/10.1016/j.pursup.2010.07.001.

Gammelgaard, B., & Larson, P. D. (2001). Logistics skills and competencies for supply chain management. Journal of Business Logistics, 22(2), 27-50. http://dx.doi.org/10.1002/j.2158-1592.2001.tb00002.x.

Gibson, T., Kerr, D., & Fisher, R. (2016). Accelerating supply chain management learning: identifying enablers from a university-industry collaboration. Supply Chain Management, 21(4), 470-484. http://dx.doi.org/10.1108/SCM-10-2014-0343.

Gilbert, L. (2014). Social Justice and the ”Green” city. Urbe. Revista Brasileira de Gestão Urbana, 6(2), 158-169. http://dx.doi.org/10.7213/urbe.06.002.SE01.

Hansen, F., Smith, M., & Hansen, R. B. (2002). Rewards and recognition in employee motivation. Compensation and Benefits Review, 34(5), 64-72. http://dx.doi.org/10.1177/0886368702034005010.

Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569-16572. http://dx.doi.org/10.1073/pnas.0507655102. PMid:16275915.

Ho, W., & Ma, X. (2018). The state-of-the-art integrations and applications of the analytic hierarchy process. European Journal of Operational Research, 267(2), 399-414. http://dx.doi.org/10.1016/j.ejor.2017.09.007.

Hohenstein, N. O., Feisel, E., & Hartmann, E. (2014). Human resource management issues in supply chain management research: a systematic literature review from 1998 to 2014. International Journal of Physical Distribution & Logistics Management, 44(6), 434-463. http://dx.doi.org/10.1108/IJPDLM-06-2013-0175.

Hopp, W. J., Iravani, S. M., & Yuen, G. Y. (2007). Operations systems with discretionary task completion. Management Science, 53(1), 61-77. http://dx.doi.org/10.1287/mnsc.1060.0598.

Ibrahim, S. E. (2010). An alternative methodology for formulating an operations strategy: the case of BTC-Egypt. Management Decision, 48(6), 868-893. http://dx.doi.org/10.1108/00251741011053442.

Incorporated Expert Choice, Inc. (2015). Web-based software comparion suite. Version: 5.4. Arlinton: Incorporated Expert Choice, Inc.

International Society on MCDM. (2018). Mission of the society. Retrieved in 2018, April 6, from http://www.mcdmsociety.org/content/mission-society

Ishizaka, A., & Nemery, P. (2013). Multi-criteria decision analysis: methods and software. West Sussex: John Wiley & Sons. http://dx.doi.org/10.1002/9781118644898.

Jakhar, S. K. (2015). Performance evaluation and a flow allocation decision model for a sustainable supply chain of an apparel industry. Journal of Cleaner Production, 87(1), 391-413. http://dx.doi.org/10.1016/j.jclepro.2014.09.089.

Karpak, B., & Topçu, I. (2010). Small medium manufacturing enterprises in Turkey: an analytic network process framework for prioritizing factors affecting success. International Journal of Production Economics, 125(1), 60-70. http://dx.doi.org/10.1016/j.ijpe.2010.01.001.

Khadivar, A., Zadeh, A. R., Khani, M., & Jalali, S. M. J. (2007). A conceptual model for knowledge flow in supply chain. In IEEE International Conference on Industrial Engineering and Engineering Management (pp. 352-356). USA: IEEE. http://dx.doi.org/10.1109/IEEM.2007.4419210.

Kotzab, H., Teller, C., Bourlakis, M., & Wünsche, S. (2018). Key competences of logistics and SCM professionals: the lifelong learning perspective. Supply Chain Management, 23(1), 50-64. http://dx.doi.org/10.1108/SCM-02-2017-0079.

Krainer, C. W. M., Krainer, J. A., & Romano, C. A. (2018). Interorganizational relationships in the Brazilian construction industry supply chain. Production, 28(0), e20170075. http://dx.doi.org/10.1590/0103-6513.20170075.

Lau, H., Nakandala, D., Samaranayake, P., & Shum, P. (2016). A hybrid multi-criteria decision model for supporting customer-focused profitability analysis. Industrial Management & Data Systems, 116(6), 1105-1130. http://dx.doi.org/10.1108/IMDS-10-2015-0410.

Lewis, M. A., & Brown, A. D. (2012). How different is professional service operations management? Journal of Operations Management, 30(1-2), 1-11. http://dx.doi.org/10.1016/j.jom.2011.04.002.

Lummus, R. R. (2007). The role of APICS in professionalizing operations management. Journal of Operations Management, 25(2), 336-345. http://dx.doi.org/10.1016/j.jom.2006.11.004.

Lutz, H., & Birou, L. (2013). Logistics education: a look at the current state of the art and science. Supply Chain Management, 18(4), 455-467. http://dx.doi.org/10.1108/SCM-08-2012-0269.

Maloni, M. J., & Carter, C. R. (2018). Publication Productivity in the SCM Discipline: 2014–2016. Transportation Journal, 57(1), 1-23. http://dx.doi.org/10.5325/transportationj.57.1.0001.

Mentzer, J. T., Stank, T. P., & Esper, T. L. (2008). Supply chain management and its relationship to logistics, marketing, production, and operations management. Journal of Business Logistics, 29(1), 31-46. http://dx.doi.org/10.1002/j.2158-1592.2008.tb00067.x.

Millet, I. (1997). The effectiveness of alternative preference elicitation methods in the analytic hierarchy process. Journal of Multi‐Criteria Decision Analysis, 6(1), 41-51. http://dx.doi.org/10.1002/(SICI)1099-1360(199701)6:1<41::AID-MCDA122>3.0.CO;2-D.

Millet, I., & Saaty, T. L. (2000). On the relativity of relative measures–accommodating both rank preservation and rank reversals in the AHP. European Journal of Operational Research, 121(1), 205-212. http://dx.doi.org/10.1016/S0377-2217(99)00040-5.

Olson, J. E. (2005). Top-25-business-school professors rate journals in operations management and related fields. Interfaces, 35(4), 323-338. http://dx.doi.org/10.1287/inte.1050.0149.

Pittman, P. H., & Atwater, J. B. (Ed.), (2016). APICS dictionary (15th ed.). Chicago: APICS.

Rai, A., & Hornyak, R. (2013). The impact of sourcing enterprise system use and work process interdependence on sourcing professionals’ job outcomes. Journal of Operations Management, 31(6), 474-488. http://dx.doi.org/10.1016/j.jom.2013.07.005.

Ricker, M. (2017). Letter to the Editor: about the quality and impact of scientific articles. Scientometrics, 111(3), 1851-1855.

Rossetti, C. L., & Dooley, K. J. (2010). Job types in the supply chain management profession. The Journal of Supply Chain Management, 46(3), 40-56. http://dx.doi.org/10.1111/j.1745-493X.2010.03197.x.

Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234-281. http://dx.doi.org/10.1016/0022-2496(77)90033-5.

Saaty, T. L. (1980). The analytic hierarchy process: planning, priority setting, resource allocation. New York: McGraw-Hill.

Saaty, T. L. (1986). Absolute and relative measurement with the AHP. The most livable cities in the United States. Socio-Economic Planning Sciences, 20(6), 327-331. http://dx.doi.org/10.1016/0038-0121(86)90043-1.

Saaty, T. L. (2010). Principia mathematica decernendi: mathematical principles of decision-making. Pittsburgh: RWS.

Saaty, T. L., & Ozdemir, M. S. (2003). Why the magic number seven plus or minus two. Mathematical and Computer Modelling, 38(3-4), 233-244. http://dx.doi.org/10.1016/S0895-7177(03)90083-5.

Saaty, T. L., & Ozdemir, M. S. (2005). The encyclicon: a dictionary of decisions with dependence and feedback based on the analytic networking process. Pittsburg: RWS.

Salomon, V. A. P., Tramarico, C. L., & Marins, F. A. S. (2016). Analytic hierarchy process applied to supply chain management. In F. De Felice, A. Petrillo & T. Saaty (Eds.), Applications and theory of analytic hierarchy process: decision making for strategic decisions. Hijeka: InTech. http://dx.doi.org/10.5772/64022.

Scavarda, L. F., Hellingrath, B., Kreuter, T., Thomé, A. M. T., Seeling, M. X., Fischer, J.-H., & Mello, R. (2017). A case method for Sales and Operations Planning: a learning experience from Germany. Production, 27(spe), e20162199. http://dx.doi.org/10.1590/0103-6513.219916.

Schellekens, A., Paas, F., & van Merriënboer, J. J. (2003). Flexibility in higher professional education: a survey in business administration programmes in the Netherlands. Higher Education, 45(3), 281-305. http://dx.doi.org/10.1023/A:1022986105505.

Schellekens, A., Paas, F., Verbraeck, A., & van Merriënboer, J. J. (2010a). Designing a flexible approach for higher professional education by means of simulation modelling. The Journal of the Operational Research Society, 61(2), 202-210. http://dx.doi.org/10.1057/jors.2008.133.

Schellekens, A., Paas, F., Verbraeck, A., & Van Merriënboer, J. J. (2010b). Flexible programmes in higher professional education: expert validation of a flexible educational model. Innovations in Education and Teaching International, 47(3), 283-294. http://dx.doi.org/10.1080/14703297.2010.498179.

Schoenherr, T., & Swink, M. (2012). Revisiting the arcs of integration: Cross-validations and extensions. Journal of Operations Management, 30(1-2), 99-115. http://dx.doi.org/10.1016/j.jom.2011.09.001.

Schoenherr, T., Griffith, D. A., & Chandra, A. (2014b). Knowledge management in supply chains: the role of explicit and tacit knowledge. Journal of Business Logistics, 35(2), 121-135. http://dx.doi.org/10.1111/jbl.12042.

Schoenherr, T., Modi, S. B., Talluri, S., & Hult, G. T. M. (2014a). Antecedents and performance outcomes of strategic environmental sourcing: an investigation of resource‐based process and contingency effects. Journal of Business Logistics, 35(3), 172-190. http://dx.doi.org/10.1111/jbl.12052.

Sodhi, M. S., Son, B. G., & Tang, C. S. (2008). ASP, the art and science of practice: what employers demand from applicants for MBA-level supply chain jobs and the coverage of supply chain topics in MBA courses. Interfaces, 38(6), 469-484. http://dx.doi.org/10.1287/inte.1080.0377.

Stouthuysen, K., Slabbinck, H., & Roodhooft, F. (2012). Controls, service type and perceived supplier performance in interfirm service exchanges. Journal of Operations Management, 30(5), 423-435. http://dx.doi.org/10.1016/j.jom.2012.01.002.

Subramanian, N., & Ramanathan, R. (2012). A review of applications of Analytic Hierarchy Process in operations management. International Journal of Production Economics, 138(2), 215-241. http://dx.doi.org/10.1016/j.ijpe.2012.03.036.

Swanson, D., Goel, L., Francisco, K., & Stock, J. (2017). Applying theories from other disciplines to logistics and supply chain management: a systematic literature review. Transportation Journal, 56(3), 299-356. http://dx.doi.org/10.5325/transportationj.56.3.0299.

Tramarico, C. L., Salomon, V. A. P., & Marins, F. A. S. (2015). Analytic hierarchy process and supply chain management: a bibliometric study. Procedia Computer Science, 55, 441-450. http://dx.doi.org/10.1016/j.procs.2015.07.005.

Tramarico, C. L., Salomon, V. A. P., & Marins, F. A. S. (2017). Multi-criteria assessment of the benefits of a supply chain management training considering green issues. Journal of Cleaner Production, 142, 249-256. http://dx.doi.org/10.1016/j.jclepro.2016.05.112.

Treem, J. W. (2013). Technology use as a status cue: the influences of mundane and novel technologies on knowledge assessments in organizations. Journal of Communication, 63(6), 1032-1053. http://dx.doi.org/10.1111/jcom.12061.

Triantaphyllou, E. (2010). Multi-criteria decision-making methods: a comparative study. Dordrecht: Kluwer.

Van Eck, N. J., & Waltman, L. (2014). Systematic retrieval of scientific literature based on citation relations: introducing the CitNetExplorer Tool (pp. 13-20). USA: BIR@ ECIR.

Van Zyl, C. (2003). Supply chain knowledge management adoption increases overall efficiency and competitiveness. South African Journal of Information Management, 5(4), 1-15. http://dx.doi.org/10.4102/sajim.v5i4.381.

Varthanan, P. A., Murugan, N., Kumar, G. M., & Parameswaran, S. (2012). Development of simulation-based AHP-DPSO algorithm for generating multi-criteria production–distribution plan. International Journal of Advanced Manufacturing Technology, 60(1-4), 373-396. http://dx.doi.org/10.1007/s00170-011-3606-x.

Wallenius, J., Dyer, J. S., Fishburn, P. C., Steuer, R. E., Zionts, S., & Deb, K. (2008). Multiple criteria decision making, multiattribute utility theory: recent accomplishments and what lies ahead. Management Science, 54(7), 1336-1349. http://dx.doi.org/10.1287/mnsc.1070.0838.

Web of Science. (2018). Supply chain management and professional. Retrieved in 2018, August 15, from http://apps.webofknowledge.com

Wouters, M. (2009). A developmental approach to performance measures: results from a longitudinal case study. European Management Journal, 27(1), 64-78. http://dx.doi.org/10.1016/j.emj.2008.06.006.

Wu, S. J., Melnyk, S. A., & Swink, M. (2012). An empirical investigation of the combinatorial nature of operational practices and operational capabilities: compensatory or additive? International Journal of Operations & Production Management, 32(2), 121-155. http://dx.doi.org/10.1108/01443571211208605.

Xu, Z., Cheang, B., Lim, A., & Wen, Q. (2011). Evaluating OR/MS journals via PageRank. Interfaces, 41(4), 375-388. http://dx.doi.org/10.1287/inte.1110.0557.
 

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